LAND-COVER MODELLING USING CORINE LAND COVER DATA AND MULTI-LAYER PERCEPTRON
نویسندگان
چکیده
منابع مشابه
Update of the Corine Land Cover Data Base in Germany
The objective of the European-wide programme CORINE Land Cover (CLC) is the generation and regular update of consistent and comparable information on land cover in Europe for environmental assessment and planning purposes. The project CORINE Land Cover 2000 (CLC2000) aims at the update of the land cover data base for the year 2000 and the mapping of land cover changes in Europe during the last ...
متن کاملUsing ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project
The satellite imagery has been effectively utilized for classifying land covertypes and detecting land cover conditions. The Advanced Spaceborne Thermal Emissionand Reflection Radiometer (ASTER) sensor imagery has been widely used in classificationprocess of land cover. However, atmospheric corrections have to be made by preprocessingsatellite sensor imagery since the electromagnetic radiation ...
متن کاملThe Production of Finnish Corine Land Cover 2000 Classification
CORINE Land Cover is an Europeanwide land cover and land use classification which is based in most countries on visual interpretation of satellite images. The new CORINE2000 classification of Finland is based automated interpretation of satellite images and data integration with existing digital map data. Satellite images are used in estimation of continuous variables describing vegetation type...
متن کاملLand-Cover Change Detection Using Multi-Temporal MODIS NDVI Data
Monitoring the locations and distributions of land-cover change is important for establishing links between policy decisions, regulatory actions and resulting land-use activities. Past activities including two-date change detection efforts using Landsat data have tended to be performance limited for applications in biologically complex systems. This study explored the use of 250 m multi-tempora...
متن کاملUrban Land Cover Classification Using Hyperspectral Data
Urban land cover classification using remote sensing data is quite challenging due to spectrally and spatially complex urban features. The present study describes the potential use of hyperspectral data for urban land cover classification and its comparison with multispectral data. EO-1 Hyperion data of October 05, 2012 covering parts of Bengaluru city was analyzed for land cover classification...
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ژورنال
عنوان ژورنال: quageo
سال: 2014
ISSN: 0137-477X
DOI: 10.2478/quageo-2014-0004